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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
A lightning-fast, cross-platform mobile AI Assistant App built with React Native.
| Date | Stars |
|---|---|
| 2026-07-31 | 843 |
| 2026-08-05 | 847 |
| 2026-08-06 | 847 |
Today
— stars today
This week
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Momentum
5.0
growth rate 0.00%/day
# Sample Mobile AI Assistant — A Cross-platform AI Chat & Creation App > 🚀 Your Personal AI Workspace — Chat, Create Apps, and More [](https://github.com/aws-samples/sample-mobile-ai-assistant/releases) [](LICENSE) [中文](/README_CN.md) AI Assistant is a fast and responsive cross-platform app developed with [React Native](https://reactnative.dev/) and powered by [Amazon Bedrock](https://aws.amazon.com/bedrock/), with compatibility extending to other model providers such as Ollama, DeepSeek, OpenAI and OpenAI Compatible. With its minimalist design philosophy and robust privacy protection, it delivers real-time streaming conversations, AI image generation, instant web app creation and voice conversation capabilities across Android, iOS, and macOS platforms.  ### What's New 🔥 - 🚀 Support creating multiple apps in background with Live Activity on iOS and notifications on Android (From v2.8.0). - 🚀 Upgrade to React Native 0.83 with New Architecture enabled (From v2.8.0). - 🚀 Support create or edit instant web apps with one prompt (From v2.7.0). - 🚀 Support Web Search for real-time information retrieval (From v2.7.0). - 🚀 Update App Server with API Gateway + Lambda deployment supporting 15-minute streaming output (From v2.7.0). - 🚀 Support Image Gallery for browsing and managing generated images (From v2.7.0). **Create App**: Generate, Edit, Share and Preview Instant Web Apps <div style="display: flex; flex-direction: 'row'; background-color: #888888;"> <img src="assets/animations/create_app.avif" width=24%> <img src="assets/animations/edit_and_save.avif" width=24%> <img src="assets/animations/gallery_edit_app.avif" width=24%> <img src="assets/animations/share_and_import.avif" width=24%> </div> **App Examples**: 2048 Game, Gomoku, Tetris and News Reader <div style="display: flex; flex-direction: 'row'; background-color: #888888;"> <img src="assets/animations/app_2048.avif" width=24%> <img src="assets/animations/app_gomoku.avif" width=24%> <img src="assets/animations/app_tetris.avif" width=24%> <img src="assets/animations/app_news.avif" width=24%> </div> **Web Search & Mermaid**: Real-time Information Retrieval and Streaming Chart Rendering <div style="display: flex; flex-direction: 'row'; background-color: #888888;"> <img src="assets/animations/websearch_tavily.avif" width=24%> <img src="assets/animations/websearch_google.avif" width=24%> <img src="assets/animations/mermaid_en.avif" width=24%> <img src="assets/animations/mermaid_save_en.avif" width=24%> </div> > Note: Tavily is recommended for best results. Google Search requires manual verification on first use. Baidu and Bing are currently in beta and may return inaccurate results. ## Getting Started with Amazon Bedrock ### Configuration You can choose one of the following two methods for configuration <details> <summary><b>🔧 Configure Bedrock API Key (Click to expand)</b></summary> 1. Click [Amazon Bedrock Console](https://console.aws.amazon.com/bedrock/home#/api-keys/long-term/create) to create a long-term API key. 2. Copy and paste the API key to the (Amazon Bedrock -> Bedrock API Key) under AI Assistant Settings page. 3. The App will automatically get the latest model list based on the region you currently selected. If multiple models appear in the list, it means the configuration is successful. </details> <details> <summary><b>🔧 Configure App Server (Click to expand)</b></summary> ### Architecture  We use **API Gateway** combined with **AWS Lambda** to enable streaming responses for up to 15 minutes. All requests are authenticated via API Gateway's API Key validation before being forwarded to Lambda, ensuring secure access to backend services. ### Step 1: One-command deploy **Prerequisites:** AWS CLI configured with credentials
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:d8ca8ee54c3ea685, name:ai assistant, desc:ai assistant